1 citations · 1 across the 6 of their papers we have counts for
6 papers
Annotation Free Spacecraft Detection and Segmentation using Vision Language Models
Samet Hicsonmez, Jose Sosa, Dan Pineau +4
Vision Language Models (VLMs) have demonstrated remarkable performance in open-world zero-shot visual recognition. However, their potential in space-related applications remains la…
Domain Adaptive Object Detection for Space Applications with Real-Time Constraints
Samet Hicsonmez, Abd El Rahman Shabayek, Arunkumar Rathinam +1
Object detection is essential in space applications targeting Space Domain Awareness and also applications involving relative navigation scenarios. Current deep learning models for…
Bridging the Synthetic-Real Gap: Supervised Domain Adaptation for Robust Spacecraft 6-DoF Pose Estimation
Inder Pal Singh, Nidhal Eddine Chenni, Abd El Rahman Shabayek +2
Spacecraft Pose Estimation (SPE) is a fundamental capability for autonomous space operations such as rendezvous, docking, and in-orbit servicing. Hybrid pipelines that combine obje…
Motion Aware ViT-based Framework for Monocular 6-DoF Spacecraft Pose Estimation
Jose Sosa, Dan Pineau, Arunkumar Rathinam +2
Monocular 6-DoF pose estimation plays an important role in multiple spacecraft missions. Most existing pose estimation approaches rely on single images with static keypoint localis…
Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions
Arunkumar Rathinam, Leo Pauly, Abd El Rahman Shabayek +4
Multispectral pedestrian detection has gained significant attention in recent years, particularly in autonomous driving applications. To address the challenges posed by adversarial…
SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing
Arunkumar Rathinam, Haytam Qadadri, Djamila Aouada
In recent years, there has been a growing demand for improved autonomy for in-orbit operations such as rendezvous, docking, and proximity maneuvers, leading to increased interest i…